2 citations · 3 across the 4 of their papers we have counts for
5 papers
A Review of Human Emotion Synthesis Based on Generative Technology
Fei Ma, Yukan Li, Yifan Xie +8
Human emotion synthesis is a crucial aspect of affective computing. It involves using computational methods to mimic and convey human emotions through various modalities, with the…
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting
Zixuan Guo, Yifan Xie, Weijing Xie +3
Dense colored point clouds enhance visual perception and are of significant value in various robotic applications. However, existing learning-based point cloud upsampling methods a…
Learn To Learn More Precisely
Runxi Cheng, Yongxian Wei, Xianglong He +5
Meta-learning has been extensively applied in the domains of few-shot learning and fast adaptation, achieving remarkable performance. While Meta-learning methods like Model-Agnosti…
Generative Technology for Human Emotion Recognition: A Scope Review
Fei Ma, Yucheng Yuan, Yifan Xie +6
Affective computing stands at the forefront of artificial intelligence (AI), seeking to imbue machines with the ability to comprehend and respond to human emotions. Central to this…
VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models
Haowen Hou, Peigen Zeng, Fei Ma +1
Visual Language Models (VLMs) have rapidly progressed with the recent success of large language models. However, there have been few attempts to incorporate efficient linear Recurr…